A Study on Autophagy Related Biomarkers in Alzheimer's Disease Based on Bioinformatics.

Alzheimer's disease (AD) is a neurodegenerative disease with an annual incidence increase that poses significant health risks to people. However, the pathogenesis of AD is still unclear. Autophagy, as an intracellular mechanism can degrade damaged cellular components and abnormal proteins, which is closely related to AD pathology. The goal of this work is to uncover the intimate association between autophagy and AD, and to mine potential autophagy-related AD biomarkers by identifying key differentially expressed autophagy genes (DEAGs) and exploring the potential functions of these genes. GSE63061 and GSE140831 gene expression profiles of AD were downloaded from the Gene Expression Omnibus (GEO) database. R language was used to standardize and differentially expressed genes (DEGs) of AD expression profiles. A total of 259 autophagy-related genes were discovered through the autophagy gene databases ATD and HADb. The differential genes of AD and autophagy genes were integrated and analyzed to screen out DEAGs. Then the potential biological functions of DEAGs were predicted, and Cytoscape software was used to detect the key DEAGs. There were ten DEAGs associated with the AD development, including nine up-regulated genes (CAPNS1, GAPDH, IKBKB, LAMP1, LAMP2, MAPK1, PRKCD, RAB24, RAF1) and one down-regulated gene (CASP1). The correlation analysis reveals the potential correlation among 10 core DEAGs. Finally, the significance of the detected DEAGs expression was verified, and the value of DEAGs in AD pathology was detected by the receiver operating characteristic curve. The area under the curve values indicated that ten DEAGs are potentially valuable for the study of the pathological mechanism and may become biomarkers of AD. This pathway analysis and DEAG screening in this study found a strong association between autophagy-related genes and AD, providing new insights into the pathological progression of AD. Exploring the relationship between autophagy and AD: analysis of genes associated with autophagy in pathological mechanisms of AD using bioinformatics. 10 autophagy-related genes play an important role in the pathological mechanisms of AD.

Five crucial prognostic-related autophagy genes stratified female breast cancer patients aged 40-60 years.

BACKGROUND: Autophagy is closely related to the progression of breast cancer. The aim at this study is to establish a prognostic-related model comprised of hub autophagy genes (AGs) to assess patient prognosis. Simultaneously, the model can guide clinicians to make up individualized strategies and stratify patients aged 40-60 years based on risk level. METHODS: The hub AGs were identified with univariate COX regression and LASSO regression. The functions and alterations of these selected AGs were analyzed as well. Moreover, the multivariate COX regression and correlation analysis between hub AGs and clinicopathological parameters were done. RESULTS: Totally, 33 prognostic-related AGs were obtained from the univariate COX regression (P < 0.05). SERPINA1, HSPA8, HSPB8, MAP1LC3A, and DIRAS3 were identified to constitute the prognostic model by the LASSO regression. The survival curve of patients in the high-risk and low-risk groups was statistically significant (P < 0.05). The 3-year and 5-year ROC displayed that their AUC value reached 0.762 and 0.825, respectively. Stage and risk scores were independent risk factors relevant to prognosis. RB1CC1, RPS6KB1, and BIRC6 were identified as the most predominant mutant genes. It was found that AGs were mainly involved in regulating the endopeptidases synthesis and played important roles in the ErbB signal pathway. SERPIN1, risk score was closely related to the stage (P < 0.05); HSPA8, risk score were closely related to T stag (P < 0.05); HSPB8 was closely related to N stag (P < 0.05). CONCLUSIONS: Our prognostic model had the relatively robust predictive ability on prognosis for patients aged 40-60 years. If the stage was added into the prognostic model, the predictive ability would be more powerful.

Rare Variants in Autophagy and Non-Autophagy Genes in Late-Onset Pompe Disease: Suggestions of Their Disease-Modifying Role in Two Italian Families.

Pompe disease is an autosomal recessive disorder caused by a deficiency in the enzyme acid alpha-glucosidase. The late-onset form of Pompe disease (LOPD) is characterized by a slowly progressing proximal muscle weakness, often involving respiratory muscles. In LOPD, the levels of GAA enzyme activity and the severity of the clinical pictures may be highly variable among individuals, even in those who harbour the same combination of GAA mutations. The result is an unpredictable genotype-phenotype correlation. The purpose of this study was to identify the genetic factors responsible for the progression, severity and drug response in LOPD. We report here on a detailed clinical, morphological and genetic study, including a whole exome sequencing (WES) analysis of 11 adult LOPD siblings belonging to two Italian families carrying compound heterozygous GAA mutations. We disclosed a heterogeneous pattern of myopathic impairment, associated, among others, with cardiac defects, intracranial vessels abnormality, osteoporosis, vitamin D deficiency, obesity and adverse response to enzyme replacement therapy (ERT). We identified deleterious variants in the genes involved in autophagy, immunity and bone metabolism, which contributed to the severity of the clinical symptoms observed in the LOPD patients. This study emphasizes the multisystem nature of LOPD and highlights the polygenic nature of the complex phenotype disclosed in these patients.

Differential effects of rapamycin on Bursaphelenchus xylophilus with different virulence and differential expression of autophagy genes under stresses in nematodes.

Pine wilt disease (PWD) caused by the pine wood nematode (PWN), Bursaphelenchus xylophilus, is a devastating disease for Pinus spp. The virulence and resilience of PWN are closely linked to the spread and development of PWD. Numerous studies have shown that autophagy has important physiological and pathological functions in eukaryotes. But little is known about the relationships between autophagy and PWNs' virulence and resistance. In this study, through observation under the microscope and recording, we found the induction of autophagy by rapamycin could dramatically improve movement ability of PWNs with different virulence, and the highly virulent AMA3 isolate moved more than the low virulent YW4 isolate when autophagy was over-induced. High concentrations of rapamycin substantially improved the feeding and reproduction of AMA3 but not YW4. Conserved domains of autophagy genes BxATG3, BxATG4, and BxATG7 were first cloned from PWNs by reverse transcription-polymerase chain reaction (RT-PCR). Expression profiling of these three autophagy genes under biotic and abiotic stresses in PWNs with different virulence was determined by quantitative RT-PCR. The results revealed the expression levels of these three autophagy genes in PWNs with different virulence were increased significantly when nematodes were subject to high and low temperatures, oxidative stress, and defensive responses of pine trees. The expression levels of autophagy genes under biotic and abiotic stresses in AMA3 were higher than those in YW4, and different genes showed different performance. Our study clarified that autophagy was closely related to virulence and resistance of PWN, and the ability of a highly virulent isolate to regulate autophagy activity under stresses was stronger than that of a low virulent isolate.

Molecular Characterization and Functional Analysis of Three Autophagy Genes, BxATG5, BxATG9, and BxATG16, in Bursaphelenchus xylophilus.

The pine wood nematode (PWN), Bursaphelenchus xylophilus, is the pathogen responsible for pine wilt disease (PWD), a devastating forest disease with a pathogenic mechanism that remains unclear. Autophagy plays a crucial role in physiological and pathological processes in eukaryotes, but its regulatory mechanism and significance in PWN are unknown. Therefore, we cloned and characterized three autophagy genes, BxATG5, BxATG9, and BxATG16, in PWN. BxATG9 and BxATG16 were efficiently silenced through RNA interference, and we found that BxATG16 positively regulated the expression of BxATG5. Silencing BxATG9 and BxATG16 severely inhibited feeding and reproduction in PWN, indicating that autophagy is essential for these processes. We then examined the expression patterns of these three autophagy genes in PWN under the stresses of α-pinene and H2O2, the main defense substances of pine trees, and during the development of PWD using quantitative reverse transcription polymerase chain reaction. The expression levels of BxATG5, BxATG9, and BxATG16 all significantly increased after nematodes were stressed with α-pinene and H2O2 and inoculated into pine trees, suggesting that autophagy plays an important role in the defense and pathogenesis of PWN. In this study, the molecular characteristics and functions of the autophagy genes BxATG5, BxATG9, and BxATG16 in PWN were elucidated.

In vitro study of the expression of autophagy genes ATG101, mTOR and AMPK in breast cancer with treatment of lactoferrin and in silico study of their communication networks and protein interactions.

Autophagy is a new window of science that has been noticed due to the importance of specific therapies in cancer. In this study, the effect of lactoferrin (Lf) on the expression level of ATG101, mTOR and AMPK genes in breast cancer cell line MCF7, as well as the interaction between lactoferrin protein and their protein were investigated. The expression level of the genes was measured using a real-time PCR method. PDB, UniProt, KEGG, and STRING databases and ClusPro webserver and PyMol software were used in silico study. The results showed that the expression level of the ATG101 gene in treatment with concentrations of 100, 400, 600, and 800 µg/ml Lf decreased by 0.05, 0.13, 0.54 and 0.77, respectively. The expression level of the mTOR gene in treatment with concentrations of 100, 400, 600, and 800 µg/ml Lf decreased by 0.07, 0.05, 0.13, and 0.49 times respectively. The level of the AMPK gene expression in treatment with concentrations of 100, 400, 600, and 800 µg/ml Lf decreased by 0.05, 0.01, 0.06, and 0.03, respectively. Virtualization of the interaction of Lf protein with ATG101, mTOR and AMPK proteins by Pymol software showed that the N lobe region of Lf interacted with the HORMA domain of ATG101 protein, the fat domain of mTOR protein, and the CTD domain of AMPK protein. Although Lf was not able to increase the expression of autophagy-inducing genes, it may be able to induce autophagy through protein interaction by activating or inhibiting proteins related to autophagy regulation.

Comprehensive analysis of non-selective and selective autophagy in yeast atg mutants and characterization of autophagic activity in the absence of the Atg8 conjugation system.

Most autophagy-related genes, or ATG genes, have been identified in studies using budding yeast. Although the functions of the ATG genes are well understood, the contributions of individual genes to non-selective and various types of selective autophagy remain to be fully elucidated. In this study, we quantified the activity of non-selective autophagy, the cytoplasm-to-vacuole targeting (Cvt) pathway, mitophagy, endoplasmic reticulum (ER)-phagy, and pexophagy in all Saccharomyces cerevisiae atg mutants. Among the mutants of the core autophagy genes considered essential for autophagy, the atg13 mutant and mutants of the genes involved in the two ubiquitin-like conjugation systems retained residual autophagic functionality. In particular, mutants of the Atg8 ubiquitin-like conjugation system (the Atg8 system) exhibited substantial levels of non-selective autophagy, the Cvt pathway, and pexophagy, although mitophagy and ER-phagy were undetectable. Atg8-system mutants also displayed intravacuolar vesicles resembling autophagic bodies, albeit at significantly reduced size and frequency. Thus, our data suggest that membranous sequestration and vacuolar delivery of autophagic cargo can occur in the absence of the Atg8 system. Alongside these findings, the comprehensive analysis conducted here provides valuable datasets for future autophagy research.

Oculopharyngeal muscular dystrophy mutations link the RNA-binding protein HNRNPQ to autophagosome biogenesis.

Autophagy is an intracellular degradative process with an important role in cellular homeostasis. Here, we show that the RNA binding protein (RBP), heterogeneous nuclear ribonucleoprotein Q (HNRNPQ)/SYNCRIP is required to stimulate early events in autophagosome biogenesis, in particular the induction of VPS34 kinase by ULK1-mediated beclin 1 phosphorylation. The RBPs HNRNPQ and poly(A) binding protein nuclear 1 (PABPN1) form a regulatory network that controls the turnover of distinct autophagy-related (ATG) proteins. We also show that oculopharyngeal muscular dystrophy (OPMD) mutations engender a switch from autophagosome stimulation to autophagosome inhibition by impairing PABPN1 and HNRNPQ control of the level of ULK1. The overexpression of HNRNPQ in OPMD patient-derived cells rescues the defective autophagy in these cells. Our data reveal a regulatory mechanism of autophagy induction that is compromised by PABPN1 disease mutations, and may thus further contribute to their deleterious effects.

Synonymous Codon Variant Analysis for Autophagic Genes Dysregulated in Neurodegeneration.

Neurodegenerative disorders are often a culmination of the accumulation of abnormally folded proteins and defective organelles. Autophagy is a process of removing these defective proteins, organelles, and harmful substances from the body, and it works to maintain homeostasis. If autophagic removal of defective proteins has interfered, it affects neuronal health. Some of the autophagic genes are specifically found to be associated with neurodegenerative phenotypes. Non-functional, mutated, or gene copies having silent mutations, often termed synonymous variants, might explain this. However, these synonymous variant which codes for exactly similar proteins have different translation rates, stability, and gene expression profiling. Hence, it would be interesting to study the pattern of synonymous variant usage. In the study, synonymous variant usage in various transcripts of autophagic genes ATG5, ATG7, ATG8A, ATG16, and ATG17/FIP200 reported to cause neurodegeneration (if dysregulated) is studied. These genes were analyzed for their synonymous variant usage; nucleotide composition; any possible nucleotide skew in a gene; physical properties of autophagic protein including GRAVY and AROMA; hydropathicity; instability index; and frequency of acidic, basic, neutral amino acids; and gene expression level. The study will help understand various evolutionary forces acting on these genes and the possible augmentation of a gene if showing unusual behavior.

Risk score model of autophagy-related genes in osteosarcoma.

Background: Osteosarcoma (OS) is a common pediatric malignancy with high mortality and disability rates. Autophagy is an essential process in regulating the apoptosis and invasion of tumor cells, so constructing a risk score model of OS autophagy-related genes (ARGs) will bring benefit to the evaluation of both treatment and prognosis. Methods: We downloaded a dataset of OS from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET) database, and found OS-related ARGs through the Human Autophagy Database (HADb). Five hub ARGs (CCL2, AMBRA1, VEGFA, MYC and EGFR) were obtained using a multivariate Cox regression model. We then generated the risk scores and constructed a prediction model. Another dataset obtained from the Gene Expression Omnibus (GEO) was used to test accuracy and validity. The role of immune cell infiltration was systematically explored, and prediction of response to targeted drugs was assessed. Immunohistochemistry was carried out to verify the expression of the key ARGs. Results: Based on the five hub ARGs, we established a risk score model related to OS. High accuracy and validity were demonstrated by datasets downloaded from the GEO. The five ARGs played a role in the PI3K and MAPK pathways. Results from targeted drug sensitivity analyses were consistent with pathway analyses. Immunohistochemistry demonstrated that the expression differences of the five ARGs were significant between the OS group and the paracancerous group. Conclusions: We constructed a risk score model related to autophagy of OS, explored the diagnostic value of ARGs, and present possible therapeutic targets.

Distinctive alteration in the expression of autophagy genes in Drosophila models of amyloidopathy and tauopathy.

BACKGROUND: Alzheimer's disease (AD) is one the most common types of dementia. Plaques of amyloid beta and neurofibrillary tangles of tau are two major hallmarks of AD. Metabolism of these two proteins, in part, depends on autophagy pathways. Autophagy dysfunction and protein aggregation in AD may be involved in a vicious circle. The aim of this study was to investigate whether tau or amyloid beta 42 (Aß42) could affect expression of autophagy genes, and whether they exert their effects in the same way or not. METHODS: Expression levels of some autophagy genes, Hook, Atg6, Atg8, and Cathepsin D, were measured using quantitative PCR in transgenic Drosophila melanogaster expressing either Aß42 or Tau R406W. RESULTS: We found that Hook mRNA levels were downregulated in Aß42-expressing flies both 5 and 25 days old, while they were increased in 25-day-old flies expressing Tau R406W. Both Atg6 and Atg8 were upregulated at day 5 and then downregulated in 25-day-old flies expressing either Aß42 or Tau R406W. Cathepsin D expression levels were significantly increased in 5-day-old flies expressing Tau R406W, while there was no significant change in the expression levels of this gene in 5-day-old flies expressing Aß42. Expression levels of Cathepsin D were significantly decreased in 25-day-old transgenic flies expressing Tau R406W or Aß42. CONCLUSION: We conclude that both Aß42 and Tau R406W may affect autophagy through dysregulation of autophagy genes. Interestingly, it seems that these pathological proteins exert their toxic effects on autophagy through different pathways and independently.

A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes.

OBJECTIVE: To screen key autophagy genes in colon cancer and construct an autophagy gene model to predict the prognosis of patients with colon cancer. METHODS: The colon cancer data from the TCGA were downloaded as the training set, data chip of GSE17536 as the validation set. The differential genes of the training set were obtained and were analyzed for enrichment and protein network. Acquire autophagy genes from Human Autophagy Database www.autophagy.lu/project.html. Autophagy genes in differentially expressed genes were extracted using R-packages limma. Using LASSO/Cox regression analysis combined with clinical information to construct the autophagy gene risk scoring model and divide the samples into high and low risk groups according to the risk value. The Nomogram assessment model was used to predict patient outcomes. CIBERSORT was used to calculate the infiltration of immune cells in the samples and study the relationship between high and low risk groups and immune checkpoints. RESULTS: Nine hundred seventy-six differentially expressed genes were screened from training set, including five hundred sixty-eight up-regulated genes and four hundred eight down regulated genes. These differentially expressed genes were mainly involved: the regulation of membrane potential, neuroactive ligand-receptor interaction. We identified eight autophagy genes CTSD, ULK3, CDKN2A, NRG1, ATG4B, ULK1, DAPK1, and SERPINA1 as key prognostic genes and constructed the model after extracting the differential autophagy genes in the training set. Survival analysis showed significant differences in sample survival time after grouping according to the model. Nomogram assessment showed that the model had high reliability for predicting the survival of patients with colon cancer in the 1, 3, 5 years. In the high-risk group, the infiltration degrees of nine types of immune cells are different and the samples can be well distinguished according to these nine types of immune cells. Immunological checkpoint correlation results showed that the expression levels of CTLA4, IDO1, LAG3, PDL1, and TIGIT increased in high-risk groups. CONCLUSION: The prognosis prediction model based on autophagy gene has a good evaluation effect on the prognosis of colon cancer patients. Eight key autophagy genes can be used as prognostic markers for colon cancer.

Disturbed expression of autophagy genes in blood of Parkinson's disease patients.

Parkinson's disease (PD) is a common neurodegenerative disorder which affects dopaminergic neurons leading to alteration of numerous cellular pathways. Several reports highlight that PD disturbs also other cells than CNS neurons including PBMCs, which could lead, among other things, to dysfunctions of immune functions. Because autophagy could be altered in PD, a monocentric pilot study was performed to quantify the transcripts levels of several autophagy genes in blood cells. MAP1LC3B, GABARAP, GABARAPL1, GABARAPL2 and P62/SQSTM1 were found to be overexpressed in patients. On the contrary, transcripts for HSPA8 and GAPDH were both decreased. Expression of MAP1LC3B and GABARAP was able to successfully segregate PD patients from healthy controls. The accuracy of this segregation was substantially increased when combined expressions of MAP1LC3B and GAPDH or GABARAP and GAPDH were used as categorical variables. This pilot study suggests that autophagy genes expression is dysregulated in PD patients and may open new perspectives for the characterisation of prediction markers.

"The big sleep: Elucidating the sequence of events in the first hours of death to determine the postmortem interval".

Recent developments on postmortem interval estimation (PMI) take an advantage of the autolysis process, pointing out to the analysis of the expression of apoptosis and autophagy genes towards this purpose. Oxidative stress plays a role in this signaling as a regulatory mechanism and/or as a consequence of cell death. Additionally, melatonin has been implicated on apoptosis and autophagy signaling, making melatonin a suitable target for PMI determination. The aim of this study was to investigate the early PMI through the analysis of the expression of autophagy genes as well as oxidative stress and melatonin receptor. Our results demonstrated a rapidly increased on the expression of autophagy genes according to the expected sequence of events, then a marked decrease in this expression, matched with the switch to the apoptosis signaling. These results revealed potential candidates to analyze the PMI in the first hours of death, helping to estimate the time-since-death.

Metastatic risk and resistance to BRAF inhibitors in melanoma defined by selective allelic loss of ATG5.

Melanoma is a paradigm of aggressive tumors with a complex and heterogeneous genetic background. Still, melanoma cells frequently retain developmental traits that trace back to lineage specification programs. In particular, lysosome-associated vesicular trafficking is emerging as a melanoma-enriched lineage dependency. However, the contribution of other lysosomal functions such as autophagy to melanoma progression is unclear, particularly in the context of metastasis and resistance to targeted therapy. Here we mined a broad spectrum of cancers for a meta-analysis of mRNA expression, copy number variation and prognostic value of 13 core autophagy genes. This strategy identified heterozygous loss of ATG5 at chromosome band 6q21 as a distinctive feature of advanced melanomas. Importantly, partial ATG5 loss predicted poor overall patient survival in a manner not shared by other autophagy factors and not recapitulated in other tumor types. This prognostic relevance of ATG5 copy number was not evident for other 6q21 neighboring genes. Melanocyte-specific mouse models confirmed that heterozygous (but not homozygous) deletion of Atg5 enhanced melanoma metastasis and compromised the response to targeted therapy (exemplified by dabrafenib, a BRAF inhibitor in clinical use). Collectively, our results support ATG5 as a therapeutically relevant dose-dependent rheostat of melanoma progression. Moreover, these data have important translational implications in drug design, as partial blockade of autophagy genes may worsen (instead of counteracting) the malignant behavior of metastatic melanomas.

Interplay of autophagy and innate immunity in Crohn's disease: a key immunobiologic feature.

Crohn's disease representing a clinical phenotype of inflammatory bowel disease is a polygenic immune disorder with complex multifactor etiology. Recent genome-wide association studies of susceptibility loci have highlighted on the importance of the autophagy pathway, which previously had not been implicated in disease pathology. Autophagy represents an evolutionarily highly conserved multi-step process of cellular self-digestion due to sequestration of excessive, damaged, or aged proteins and intracellular organelles in double-membranous vesicles of autophagosomes, terminally self-digested in lysosomes. Autophagy is deeply involved in regulation of cell development and differentiation, survival and senescence, and it also fundamentally affects the inflammatory pathways, as well as the innate and adaptive arms of immune responses. Autophagy is mainly activated due to sensors of the innate immunity, i.e., by pattern recognition receptor signaling. The interplay of genes regulating immune functions is strongly influenced by the environment, especially gut resident microbiota. The basic challenge for intestinal immune recognition is the requirement of a simultaneous delicate balance between tolerance and responsiveness towards microbes. On the basis of autophagy-related risk genetic polymorphisms (ATG16L1, IRGM, NOD2, XBP1) impaired sensing and handling of intracellular bacteria by innate immunity, closely interrelated with the autophagic and unfolded protein pathways seem to be the most relevant immunobiologic events. Autophagy is now widely considered as a key regulator mechanism with the capacity to integrate several aspects of Crohn's disease pathogenesis. In this review, recent advances in the exciting crosstalk of susceptibility coding variants-related autophagy and innate immunity are discussed.